Senior Director Algorithms - Diagnostic Cardiology at GE Healthcare
Waukesha, WI 53188, USA -
Full Time


Start Date

Immediate

Expiry Date

16 Oct, 25

Salary

0.0

Posted On

17 Jul, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Clinical Research, Color, Iso, Career Opportunities, Iec, Digital Innovation, Servant Leadership, Signal Processing, Management Skills, Computer Science, Regulatory Standards, Algorithm Development, Emerging Technologies, Biomedical Engineering, Data Science

Industry

Pharmaceuticals

Description

JOB DESCRIPTION SUMMARY

This Senior Director role reports to the CTO for Diagnostic Cardiology (DCAR) and is responsible for defining and overseeing the execution of the algorithm strategies in support of the diagnostic electrocardiography (ECG) business.
As the Senior Director Algorithms in Diagnostic Cardiology, you will play a critical role in shaping and maintaining the algorithm portfolio which is instrumental in the delivery of clinically best-in-class algorithms and AI technologies as medical devices algorithm solutions for GE HealthCare internal and external stakeholders. You will lead a team of high-performing technologists and clinical experts to work across all DCAR product segments.
Diagnostic Cardiology is a global leader in healthcare technology, dedicated to advancing precision health and improving patient outcomes. Our Diagnostic Cardiology Algorithms Team is at the forefront of developing cutting-edge software algorithms based on research projects aimed at revolutionizing diagnostic cardiology solutions. We are seeking a dynamic and experienced leader to join us as the Algorithms Engineering Director, driving our team towards excellence and innovation.

QUALIFICATIONS:

  • Master’s degree in a relevant field such as Biomedical Engineering, Computer Science, Electrical Engineering, Data Science, or a related STEM degree.
  • Minimum of 12 years of experience across multiple fields including algorithm development, medical technology development, product development in the medical device industry.
  • Minimum of 5 years of experience managing direct reports and leading cross functional teams.
  • Minimum 5 years of experience developing and deploying AI/ML algorithms.
  • Willingness to work in a hybrid schedule with three days per week on-site in the GE HealthCare Waukesha, WI office
  • Ability to travel both local and global approximately 10% of the time
Responsibilities
  • Drive the strategy and roadmap for ECG AI and broader AI algorithm development, ensuring alignment with clinical needs, technological advancements, and business objectives. Shape the Algorithm Development strategic direction by evaluating current business goals, devising data-driven strategies, and establishing robust infrastructures to support objectives.
  • Partner with business leaders including GMs, CTOs, Program Directors, Product Managers, Regulatory leaders, and Quality leaders to create a collaborative working environment that drives rapid innovation and sustainable business growth.
  • Lead cross-functional collaboration with the Chief Scientist, Chief Medical Advisor, Global Algorithm Product Manager, and Clinical Research Manager to define long-term algorithm strategy and future roadmaps, with a particular focus on new AI technologies.
  • Foster a culture of innovation and excellence, mentoring a multidisciplinary team and promoting continuous learning and improvement., ensuring seamless integration and alignment across the business to achieve measurable outcomes and propel our business forward. Uphold high standards of product thinking and analytical depth within the team through strategic hiring and mentorship initiatives.
  • Maintain, build and grow a highly capable talent bench that ensures continuous growth of depth and breadth of skills, retention of best-in-class talent and motivating a team to collectively and constantly be building a network of potential Key Opinion Leaders, clinical research partners and business/technology development partners.
  • Identify and evaluate AI algorithm partnership opportunities, assessing both technical and clinical aspects to recommend high-impact collaborations that support segment growth and innovation. Forge collaborative strategic business partnerships and clinical research relationships. Foster a culture of continuous learning
  • Oversee the development and lifecycle management of a diverse portfolio of diagnostic cardiology algorithms, ensuring regulatory compliance, clinical efficacy, and market competitiveness.
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